Technologies and processes in this field

A shared process model has been developed across the group companies, with a focus on digitalisation.

The project aims to develop an Artificial Intelligence-based software system to automate the process and reduce operator dependency.

Development of an intelligent system based on AI and deep learning to automate and speed up the process of estimating production costs from 3D models.

AI for demand planning and production optimizationImplementation of a demand & production planning system with integrated artificial intelligence to optimize production planning and management.

The project automates quality control to monitor defects and correct production line deviations.

The project is part of Sky Italia's AIOps initiative, which uses data and machine learning to automate IT operations.

Quality 4.0 represents an evolution in industrial quality control, leveraging advanced digital technologies. Computer vision systems and AI monitor every stage of production, detecting anomalies before they become critical defects. Integration with IoT sensors ensures complete product traceability throughout the supply chain, enhancing the safety and reliability of supplies. Techniques such as X-ray tomography and other non-destructive inspection methods allow for the verification of internal quality without compromising component integrity. This approach reduces waste and rework, optimizing production processes.

Product and Process development can be optimized through the combined use of advanced digital technologies, which improve design and industrialization. The digital twin allows for the creation of a virtual replica of the product or production process to analyze performance and identify issues before physical implementation. Virtual commissioning enables the digital testing of production systems, reducing startup times and the risk of malfunctions. Advanced simulation and virtual reality enhance design and testing, allowing for more accurate planning. With PLM (Product Lifecycle Management), it is possible to manage the entire product lifecycle in an integrated manner, optimizing resources and reducing waste.

The digital transformation of logistics and production enables intelligent control of the supply chain and production processes. Thanks to IoT and smart sensors, it is possible to collect real-time data to optimize transportation routes and inventory management. Cloud platforms and predictive analytics support dynamic planning, reducing operational costs. The process Digital Twin allows for the simulation of production scenarios and the identification of inefficiencies before they occur. This integrated approach enables more flexible, responsive production that can quickly adapt to market demands.

The Connected Infrastructure is the cornerstone of industrial digital transformation, enabling the collection and utilization of data from machines, sensors, and software. The digital backbone ensures a continuous flow of information between departments and plants, allowing for predictive analytics and faster decision-making. The use of Big Data Analytics transforms large volumes of data into actionable insights to improve quality, energy efficiency, and productivity. Industrial cybersecurity protects sensitive data from cyber threats, ensuring operational continuity. With this digital infrastructure, companies can reduce waste, anticipate failures, and make processes more sustainable.

Smart Maintenance represents an innovative approach to industrial plant management, leveraging digital tools to prevent failures and reduce operational costs. Predictive maintenance uses IoT sensors and artificial intelligence algorithms to monitor machine conditions and anticipate potential anomalies. Augmented Reality (AR) supports operators with detailed visual instructions, making repairs faster and more accurate. Maintenance planning, based on data analysis and predictive models, optimizes resource usage and reduces downtime. These technologies improve operational continuity and enhance plant safety.

The Intelligent Product and Process enables a new industrial paradigm, where products and machinery are connected and capable of exchanging information in real-time. Thanks to IoT and Smart Connected Products, companies can collect operational data, monitor product conditions, and improve predictive maintenance. Advanced process monitoring allows for the optimization of production and the reduction of waste, while servitization transforms business models, shifting from product sales to the provision of services based on actual use. These technologies enhance operational efficiency and promote more flexible and sustainable production.

Modern industry requires flexible and optimized production systems. Smart Manufacturing integrates advanced digital solutions to improve performance and efficiency. Cobots support operators in repetitive tasks, reducing errors and fatigue. 3D printing enables on-demand production and material optimization. Digital machine monitoring, thanks to IoT and AI, allows anomalies to be identified and consistent quality to be guaranteed. The digital twin of the process allows production scenarios to be simulated and informed decisions to be made. Thanks to these tools, production becomes more responsive, efficient, and sustainable.